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Image Search Results
Journal: BMC Psychiatry
Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study
doi: 10.1186/s12888-023-05284-9
Figure Lengend Snippet: Comparison of characteristics between birthing parents with and without intrapartum depression or anxiety. A standardized difference of 0.1 or greater was deemed significant and designated with a (**)
Article Snippet: Curves were generated using
Techniques: Comparison
Journal: BMC Psychiatry
Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study
doi: 10.1186/s12888-023-05284-9
Figure Lengend Snippet: Receiver operator characteristic (ROC) curves for preterm birth (PTB) predictive models. Models were constructed using (A) binary set and (B) full set of variables describing mental health history. Variables from each preconception period were added in a stepwise fashion to the intrapartum base model, and each model is represented using a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio.
Article Snippet: Curves were generated using
Techniques: Construct, Generated
Journal: BMC Psychiatry
Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study
doi: 10.1186/s12888-023-05284-9
Figure Lengend Snippet: Receiver operator characteristic (ROC) curves for (A) postpartum depression/anxiety and (B) preterm birth adjusted models . Variables related to mental health history were selected according to resultant increase in concordance statistic (C-statistic). Other predictors (socio-demographics and pregnancy characteristics) were selected a priori and/or based on ability to significantly improve model fit. Each model is represented with a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio
Article Snippet: Curves were generated using
Techniques: Generated
Journal: BMC Psychiatry
Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study
doi: 10.1186/s12888-023-05284-9
Figure Lengend Snippet: Performance of predictive logistic regression models for preterm birth using test dataset
Article Snippet: Curves were generated using
Techniques:
Journal: Implementation Science Communications
Article Title: Implementing an intrapartum package of interventions to improve quality of care to reduce the burden of preterm birth in Kenya and Uganda
doi: 10.1186/s43058-021-00109-w
Figure Lengend Snippet: A summary of PTBi intrapartum package intervention, contextual modifications, and key insights
Article Snippet: The
Techniques: Modification